The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-18"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "4801943 (up from 4713620 yesterday: 1.87 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "318481 (up from 315185 yesterday: 1.05 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.63



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1508308 21551 1.45 90347 785 0.88 5.99
Russia 290678 8926 3.17 2722 91 3.46 0.94
Brazil 255368 14288 5.93 16853 735 4.56 6.60
United Kingdom 247709 2714 1.11 34876 160 0.46 14.08
Spain 231606 908 0.39 27709 146 0.53 11.96
Italy 225886 451 0.20 32007 99 0.31 14.17
France 180051 358 0.20 28242 131 0.47 15.69
Germany 176551 182 0.10 8003 41 0.51 4.53
Turkey 150593 1158 0.77 4171 31 0.75 2.77
Iran 122492 2294 1.91 7057 69 0.99 5.76
India 100328 4630 4.84 3156 131 4.33 3.15
Peru 94933 2660 2.88 2789 141 5.32 2.94
China 84063 9 0.01 4638 0 0.00 5.52
Canada 79411 1079 1.38 5960 57 0.97 7.51
Saudi Arabia 57345 2593 4.74 320 8 2.56 0.56
Belgium 55559 279 0.50 9080 28 0.31 16.34
Mexico 51633 2414 4.90 5332 155 2.99 10.33
Chile 46059 2278 5.20 478 28 6.22 1.04
Netherlands 44341 146 0.33 5713 14 0.25 12.88
Pakistan 42125 1974 4.92 903 30 3.44 2.14
Qatar 33969 1365 4.19 15 0 0.00 0.04
Ecuador 33582 400 1.21 2799 63 2.30 8.33
Switzerland 30597 10 0.03 1886 5 0.27 6.16
Belarus 30572 922 3.11 171 6 3.64 0.56
Sweden 30377 234 0.78 3698 19 0.52 12.17
Portugal 29209 173 0.60 1231 13 1.07 4.21
Singapore 28343 305 1.09 22 0 0.00 0.08
Ireland 24200 88 0.36 1547 4 0.26 6.39
United Arab Emirates 24190 832 3.56 224 4 1.82 0.93
Bangladesh 23870 1602 7.19 349 21 6.40 1.46
Poland 18885 356 1.92 936 11 1.19 4.96
Ukraine 18616 325 1.78 535 21 4.09 2.87
Indonesia 18010 496 2.83 1191 43 3.75 6.61
Romania 17036 165 0.98 1120 13 1.17 6.57
Israel 16643 26 0.16 276 4 1.47 1.66
South Africa 16433 918 5.92 286 22 8.33 1.74
Japan 16305 20 0.12 749 5 0.67 4.59
Colombia 16295 721 4.63 592 18 3.14 3.63
Austria 16269 27 0.17 629 0 0.00 3.87
Kuwait 15691 841 5.66 118 6 5.36 0.75
Egypt 12764 535 4.37 645 15 2.38 5.05
Dominican Republic 12725 411 3.34 434 6 1.40 3.41
Philippines 12718 205 1.64 831 7 0.85 6.53
Denmark 11166 41 0.37 548 1 0.18 4.91
Korea, South 11078 13 0.12 263 0 0.00 2.37
Serbia 10699 89 0.84 231 1 0.43 2.16
Panama 9726 120 1.25 279 4 1.45 2.87
Czechia 8586 111 1.31 297 -1 -0.34 3.46
Argentina 8371 303 3.76 382 9 2.41 4.56
Norway 8257 8 0.10 233 1 0.43 2.82
Algeria 7201 182 2.59 555 7 1.28 7.71
Bahrain 7184 228 3.28 12 0 0.00 0.17
Afghanistan 7072 408 6.12 173 4 2.37 2.45
Australia 7068 14 0.20 99 0 0.00 1.40
Morocco 6952 82 1.19 192 0 0.00 2.76
Malaysia 6941 47 0.68 113 0 0.00 1.63
Kazakhstan 6751 594 9.65 35 1 2.94 0.52
Finland 6380 33 0.52 300 2 0.67 4.70
Nigeria 6175 216 3.62 191 9 4.95 3.09
Moldova 6138 78 1.29 217 6 2.84 3.54
Ghana 5735 0 0.00 29 0 0.00 0.51
Oman 5379 193 3.72 25 3 13.64 0.46
Armenia 4823 351 7.85 61 1 1.67 1.26
Bolivia 4263 175 4.28 174 5 2.96 4.08
Luxembourg 3947 2 0.05 107 0 0.00 2.71
Iraq 3554 150 4.41 127 4 3.25 3.57
Hungary 3535 26 0.74 462 11 2.44 13.07
Cameroon 3529 424 13.66 140 0 0.00 3.97
Azerbaijan 3387 113 3.45 40 1 2.56 1.18
Thailand 3031 3 0.10 56 0 0.00 1.85
Greece 2836 2 0.07 165 2 1.23 5.82
Honduras 2798 152 5.74 146 4 2.82 5.22
Guinea 2796 138 5.19 16 0 0.00 0.57
Uzbekistan 2791 38 1.38 13 1 8.33 0.47
Sudan 2591 302 13.19 105 8 8.25 4.05
Senegal 2544 64 2.58 26 1 4.00 1.02
Bosnia and Herzegovina 2304 14 0.61 133 0 0.00 5.77
Bulgaria 2235 24 1.09 110 2 1.85 4.92
Croatia 2228 2 0.09 95 0 0.00 4.26
Cote d’Ivoire 2119 10 0.47 28 1 3.70 1.32
Guatemala 1912 149 8.45 35 2 6.06 1.83
Cuba 1881 9 0.48 79 0 0.00 4.20
North Macedonia 1817 25 1.40 104 3 2.97 5.72
Iceland 1802 0 0.00 10 0 0.00 0.55
Estonia 1784 10 0.56 64 1 1.59 3.59
Tajikistan 1729 205 13.45 41 2 5.13 2.37
Lithuania 1547 6 0.39 59 3 5.36 3.81
Congo (Kinshasa) 1538 83 5.70 61 0 0.00 3.97
Djibouti 1518 117 8.35 7 3 75.00 0.46
New Zealand 1499 0 0.00 21 0 0.00 1.40
Slovakia 1495 1 0.07 28 0 0.00 1.87
Slovenia 1466 0 0.00 104 0 0.00 7.09
Somalia 1455 34 2.39 57 1 1.79 3.92
Gabon 1432 112 8.48 11 0 0.00 0.77
El Salvador 1413 75 5.61 30 0 0.00 2.12
Kyrgyzstan 1216 78 6.85 14 0 0.00 1.15
Maldives 1106 12 1.10 4 0 0.00 0.36
Tunisia 1043 6 0.58 46 1 2.22 4.41
Guinea-Bissau 1032 42 4.24 4 0 0.00 0.39
Latvia 1009 1 0.10 19 0 0.00 1.88

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 351371 1250 0.36 28339 107 0.38 8.07 18062.04 1456.75 1 in 55
New Jersey 148240 1736 1.18 10439 76 0.73 7.04 16689.58 1175.27 1 in 60
Illinois 96485 2294 2.44 4234 57 1.36 4.39 7614.14 334.13 1 in 131
Massachusetts 87052 1042 1.21 5862 65 1.12 6.73 12526.36 843.51 1 in 80
California 81457 1291 1.61 3279 39 1.20 4.03 2061.56 82.99 1 in 485
Pennsylvania 66669 969 1.47 4515 20 0.44 6.77 5207.71 352.68 1 in 192
Michigan 51915 773 1.51 4915 24 0.49 9.47 5198.33 492.15 1 in 192
Texas 49177 781 1.61 1350 7 0.52 2.75 1696.00 46.56 1 in 590
Florida 46442 854 1.87 1997 24 1.22 4.30 2162.33 92.98 1 in 462
Maryland 39762 958 2.47 2023 31 1.56 5.09 6576.93 334.62 1 in 152
Georgia 38283 704 1.87 1649 39 2.42 4.31 3605.68 155.31 1 in 277
Connecticut 38116 697 1.86 3450 42 1.23 9.05 10690.86 967.66 1 in 94
Louisiana 34709 277 0.80 2563 72 2.89 7.38 7466.24 551.33 1 in 134
Virginia 31140 752 2.47 1015 5 0.50 3.26 3648.28 118.91 1 in 274
Ohio 28454 531 1.90 1657 32 1.97 5.82 2434.23 141.76 1 in 411
Indiana 28255 477 1.72 1765 14 0.80 6.25 4196.98 262.17 1 in 238
Colorado 22202 264 1.20 1224 9 0.74 5.51 3855.36 212.55 1 in 259
North Carolina 19207 534 2.86 693 7 1.02 3.61 1831.32 66.07 1 in 546
Washington 18611 178 0.97 1002 1 0.10 5.38 2444.03 131.58 1 in 409
Tennessee 18011 652 3.76 301 3 1.01 1.67 2635.82 44.05 1 in 379
Minnesota 16372 704 4.49 740 9 1.23 4.52 2903.03 131.21 1 in 344
Iowa 14955 304 2.07 355 4 1.14 2.37 4739.99 112.52 1 in 211
Arizona 14208 263 1.89 687 7 1.03 4.84 1865.82 90.22 1 in 536
Rhode Island 12795 121 0.95 506 7 1.40 3.95 12078.04 477.65 1 in 83
Wisconsin 12687 144 1.15 459 6 1.32 3.62 2178.99 78.83 1 in 459
Alabama 12086 315 2.68 489 1 0.20 4.05 2464.93 99.73 1 in 406
Mississippi 11432 136 1.20 527 6 1.15 4.61 3841.21 177.07 1 in 260
Missouri 11242 134 1.21 611 11 1.83 5.43 1831.71 99.55 1 in 546
Nebraska 10625 448 4.40 123 0 0.00 1.16 5492.64 63.59 1 in 182
South Carolina 8942 126 1.43 391 6 1.56 4.37 1736.74 75.94 1 in 576
Kansas 8303 350 4.40 198 3 1.54 2.38 2850.02 67.96 1 in 351
Kentucky 7935 247 3.21 346 12 3.59 4.36 1776.09 77.45 1 in 563
Delaware 7869 199 2.59 297 7 2.41 3.77 8081.01 305.00 1 in 124
Utah 7384 146 2.02 80 0 0.00 1.08 2303.21 24.95 1 in 434
District of Columbia 7270 147 2.06 392 9 2.35 5.39 10301.11 555.44 1 in 97
Nevada 7061 112 1.61 358 8 2.29 5.07 2292.42 116.23 1 in 436
New Mexico 6096 158 2.66 270 5 1.89 4.43 2907.25 128.77 1 in 344
Oklahoma 5398 88 1.66 288 0 0.00 5.34 1364.17 72.78 1 in 733
Arkansas 4813 54 1.13 100 2 2.04 2.08 1594.86 33.14 1 in 627
South Dakota 4027 40 1.00 44 0 0.00 1.09 4552.04 49.74 1 in 220
Oregon 3687 64 1.77 138 1 0.73 3.74 874.17 32.72 1 in 1144
New Hampshire 3652 56 1.56 172 0 0.00 4.71 2685.86 126.50 1 in 372
Puerto Rico 2710 64 2.42 124 1 0.81 4.58 848.55 38.83 1 in 1178
Idaho 2455 36 1.49 74 1 1.37 3.01 1369.93 41.29 1 in 730
North Dakota 1931 31 1.63 44 1 2.33 2.28 2533.91 57.74 1 in 395
Maine 1713 26 1.54 71 1 1.43 4.14 1274.35 52.82 1 in 785
West Virginia 1502 10 0.67 68 1 1.49 4.53 840.45 38.05 1 in 1190
Vermont 940 0 0.00 54 0 0.00 5.74 1506.44 86.54 1 in 664
Wyoming 766 12 1.59 10 2 25.00 1.31 1323.52 17.28 1 in 756
Hawaii 640 0 0.00 17 0 0.00 2.66 452.02 12.01 1 in 2212
Montana 470 2 0.43 16 0 0.00 3.40 439.75 14.97 1 in 2274
Alaska 388 0 0.00 10 0 0.00 2.58 530.38 13.67 1 in 1885

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 1439557 351371 24.41 73999.67
New Jersey 505569 148240 29.32 56919.41
Illinois 603241 96485 15.99 47604.92
Massachusetts 460826 87052 18.89 66310.64
California 1292672 81457 6.30 32715.75
Pennsylvania 340609 66669 19.57 26605.94
Michigan 410178 51915 12.66 41071.78
Texas 723013 49177 6.80 24935.02
Florida 676412 46442 6.87 31493.63
Maryland 201506 39762 19.73 33330.58
Georgia 364289 38283 10.51 34310.49
Connecticut 177679 38116 21.45 49835.82
Louisiana 269748 34709 12.87 58025.37
Virginia 196226 31140 15.87 22989.35
Ohio 271849 28454 10.47 23256.62
Indiana 183912 28255 15.36 27318.18
Colorado 128495 22202 17.28 22313.06
North Carolina 255755 19207 7.51 24385.29
Washington 285243 18611 6.52 37458.57
Tennessee 337428 18011 5.34 49380.86
Minnesota 156606 16372 10.45 27768.83
Iowa 103148 14955 14.50 32692.78
Arizona 156473 14208 9.08 20548.29
Rhode Island 115384 12795 11.09 108918.49
Wisconsin 157189 12687 8.07 26997.13
Alabama 157123 12086 7.69 32045.09
Mississippi 115767 11432 9.88 38898.25
Missouri 151338 11242 7.43 24658.21
Nebraska 67501 10625 15.74 34894.91
South Carolina 131559 8942 6.80 25551.82
Kansas 66990 8303 12.39 22994.43
Kentucky 129685 7935 6.12 29027.42
Delaware 42458 7869 18.53 43601.94
Utah 174022 7384 4.24 54280.81
District of Columbia 37825 7270 19.22 53595.54
Nevada 81832 7061 8.63 26567.49
New Mexico 133253 6096 4.57 63549.77
Oklahoma 123560 5398 4.37 31225.90
Arkansas 85239 4813 5.65 28245.18
South Dakota 29045 4027 13.86 32831.86
Oregon 97315 3687 3.79 23072.80
New Hampshire 44878 3652 8.14 33005.54
Puerto Rico 2710 2710 100.00 848.55
Idaho 36672 2455 6.69 20463.54
North Dakota 56561 1931 3.41 74221.00
Maine 23805 1713 7.20 17709.26
West Virginia 76035 1502 1.98 42545.46
Vermont 23825 940 3.95 38181.76
Wyoming 17085 766 4.48 29520.06
Hawaii 42045 640 1.52 29695.48
Montana 28167 470 1.67 26354.40
Alaska 35611 388 1.09 48679.17

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 35058 2005 6.07 8437 24.07 25372 1249 51 4.26 3.56
Tamil Nadu 11760 536 4.78 4406 37.47 7272 82 3 3.80 0.70
Gujarat 11746 366 3.22 4804 40.90 6248 694 35 5.31 5.91
Delhi 10054 299 3.07 4485 44.61 5409 160 12 8.11 1.59
Rajasthan 5629 427 8.21 3219 57.19 2271 139 8 6.11 2.47
Madhya Pradesh 5236 259 5.20 2435 46.50 2549 252 4 1.61 4.81
Uttar Pradesh 4605 141 3.16 2783 60.43 1704 118 6 5.36 2.56
West Bengal 2825 148 5.53 1006 35.61 1575 244 6 2.52 8.64
Andhra Pradesh 2432 52 2.18 1552 63.82 830 50 0 0.00 2.06
Punjab 1980 16 0.81 1547 78.13 396 37 2 5.71 1.87
Telangana 1592 41 2.64 1002 62.94 556 34 0 0.00 2.14
Bihar 1423 103 7.80 473 33.24 941 9 1 12.50 0.63
Jammu and Kashmir 1289 106 8.96 609 47.25 665 15 2 15.38 1.16
Karnataka 1246 99 8.63 530 42.54 678 37 0 0.00 2.97
Haryana 928 18 1.98 598 64.44 316 14 0 0.00 1.51
Odisha 876 48 5.80 277 31.62 595 4 0 0.00 0.46
State Unassigned 814 NA NA 0 0.00 814 0 NA NA 0.00
Kerala 631 29 4.82 497 78.76 130 4 0 0.00 0.63
Jharkhand 228 5 2.24 127 55.70 98 3 0 0.00 1.32
Chandigarh 196 5 2.62 54 27.55 139 3 0 0.00 1.53
Tripura 165 0 0.00 89 53.94 76 0 0 NaN 0.00
Assam 116 15 14.85 42 36.21 68 4 2 100.00 3.45
Uttarakhand 96 4 4.35 52 54.17 43 1 0 0.00 1.04
Chhattisgarh 95 10 11.76 59 62.11 36 0 0 NaN 0.00
Himachal Pradesh 90 10 12.50 42 46.67 42 3 0 0.00 3.33
Ladakh 43 0 0.00 43 100.00 0 0 0 NaN 0.00
Goa 38 9 31.03 7 18.42 31 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Puducherry 17 1 6.25 9 52.94 8 0 0 NaN 0.00
Meghalaya 13 0 0.00 12 92.31 0 1 0 0.00 7.69
Manipur 7 0 0.00 2 28.57 5 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 581437 85019 175 0.21 14.62 4482 252 27073 15543 18.28
Piemonte 253479 29619 72 0.24 11.68 1589 99 9874 3632 12.26
Emilia-Romagna 263888 27267 35 0.13 10.33 708 105 5525 3986 14.62
Veneto 513021 18950 9 0.05 3.69 263 22 4004 1803 9.51
Toscana 205201 9961 13 0.13 4.85 197 66 2573 989 9.93
Liguria 81485 9191 32 0.35 11.28 360 23 2339 1367 14.87
Lazio 209472 7485 39 0.52 3.57 1137 73 3826 628 8.39
Marche 89085 6678 11 0.16 7.50 156 17 2315 984 14.73
Campania 143478 4695 11 0.23 3.27 342 17 1673 399 8.50
Puglia 91901 4386 7 0.16 4.77 254 22 1995 471 10.74
P.A. Trento 70173 4351 13 0.30 6.20 41 8 248 453 10.41
Sicilia 118859 3395 7 0.21 2.86 137 13 1539 267 7.86
Friuli Venezia Giulia 104874 3198 7 0.22 3.05 81 3 621 320 10.01
Abruzzo 57897 3193 7 0.22 5.51 191 6 1413 388 12.15
P.A. Bolzano 54861 2582 1 0.04 4.71 52 6 307 291 11.27
Umbria 56279 1424 0 0.00 2.53 24 2 77 73 5.13
Sardegna 43387 1353 0 0.00 3.12 72 10 380 126 9.31
Valle d’Aosta 12327 1174 1 0.09 9.52 30 0 60 143 12.18
Calabria 56167 1151 0 0.00 2.05 53 2 401 95 8.25
Molise 11514 422 11 2.68 3.67 9 2 217 22 5.21
Basilicata 22581 392 0 0.00 1.74 29 1 93 27 6.89

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 43636 708 1.65 3597 34 0.95 8.24 5110.99 421.31 1 in 196
Ontario 24286 312 1.30 2019 20 1.00 8.31 1650.78 137.24 1 in 606
Alberta 6683 39 0.59 128 1 0.79 1.92 1514.34 29.00 1 in 660
British Columbia 2444 16 0.66 143 2 1.42 5.85 478.19 27.98 1 in 2091
Nova Scotia 1043 3 0.29 55 0 0.00 5.27 1067.05 56.27 1 in 937
Saskatchewan 592 0 0.00 7 0 0.00 1.18 500.99 5.92 1 in 1996
Manitoba 290 1 0.35 7 0 0.00 2.41 210.52 5.08 1 in 4750
Newfoundland and Labrador 260 0 0.00 3 0 0.00 1.15 498.69 5.75 1 in 2005
New Brunswick 120 0 0.00 0 0 NaN 0.00 153.85 0.00 1 in 6500
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1590 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1055 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 945 13 1.38
Jiangxi 937 1 0.11
Shandong 788 7 0.89
Shanghai 666 7 1.05
Jiangsu 653 0 0.00
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 356 1 0.28
Hebei 328 6 1.83
Shaanxi 308 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 216 1 0.46
Shanxi 198 0 0.00
Tianjin 192 3 1.56
Yunnan 185 2 1.08
Hainan 169 6 3.55
Jilin 151 2 1.32
Liaoning 149 2 1.34
Guizhou 147 2 1.36
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 4609.74 276.12 1 in 217
Russia 2011.61 18.84 1 in 497
Brazil 1220.11 80.52 1 in 820
United Kingdom 3728.31 524.92 1 in 268
Spain 4963.69 593.85 1 in 201
Italy 3734.89 529.22 1 in 268
France 2687.73 421.59 1 in 372
Germany 2132.52 96.67 1 in 469
Turkey 1863.54 51.61 1 in 537
Iran 1509.27 86.95 1 in 663
India 74.93 2.36 1 in 13346
Peru 2950.98 86.70 1 in 339
China 60.65 3.35 1 in 16488
Canada 2112.56 158.55 1 in 473
Saudi Arabia 1740.89 9.71 1 in 574
Belgium 4873.60 796.49 1 in 205
Mexico 399.64 41.27 1 in 2502
Chile 2551.75 26.48 1 in 392
Netherlands 2580.97 332.54 1 in 387
Pakistan 213.83 4.58 1 in 4677

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 193230 20806 10.77
Cook Illinois 63690 2889 4.54
Nassau New York 39225 2053 5.23
Los Angeles California 38458 1840 4.78
Suffolk New York 38224 1754 4.59
Westchester New York 32323 1295 4.01
Philadelphia Pennsylvania 19953 1080 5.41
Middlesex Massachusetts 19345 1412 7.30
Wayne Michigan 19128 2226 11.64
Hudson New Jersey 18498 1068 5.77
Bergen New Jersey 17459 1460 8.36
Essex New Jersey 16712 1550 9.27
Suffolk Massachusetts 16671 793 4.76
Miami-Dade Florida 15864 566 3.57
Passaic New Jersey 15278 839 5.49
Union New Jersey 14903 962 6.46
Middlesex New Jersey 14752 888 6.02
Fairfield Connecticut 14439 1153 7.99
Rockland New York 12777 602 4.71
Essex Massachusetts 12587 790 6.28
Prince George’s Maryland 11608 436 3.76
New Haven Connecticut 10338 830 8.03
Orange New York 9965 408 4.09
Harris Texas 9635 205 2.13
Worcester Massachusetts 9442 581 6.15
Providence Rhode Island 9112 0 0.00
Hartford Connecticut 8957 1084 12.10
Montgomery Maryland 8417 480 5.70
Marion Indiana 8406 480 5.71
Oakland Michigan 8050 913 11.34
Ocean New Jersey 7994 633 7.92
Fairfax Virginia 7843 284 3.62
Dallas Texas 7679 177 2.30
Norfolk Massachusetts 7524 728 9.68
King Washington 7515 528 7.03
Monmouth New Jersey 7408 513 6.92
Maricopa Arizona 7340 324 4.41
District of Columbia District of Columbia 7270 392 5.39
Plymouth Massachusetts 7139 464 6.50
Jefferson Louisiana 7059 430 6.09
Orleans Louisiana 6822 495 7.26
Lake Illinois 6645 215 3.24
Macomb Michigan 6357 740 11.64
Broward Florida 6322 281 4.44
Morris New Jersey 6092 569 9.34
DuPage Illinois 6076 300 4.94
Montgomery Pennsylvania 6012 566 9.41
Bristol Massachusetts 5996 324 5.40
Riverside California 5952 261 4.39
Mercer New Jersey 5950 408 6.86

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc